Machine Learning
Showing 36 of 1845 projects
Python bindings and libraries for interacting with the Coq interactive proof assistant programmatically.
A C# library for parsing, evaluating, and symbolically manipulating mathematical expressions with support for differentiation, integration, and plotting.
A curated dataset of 1,044,394 Windows executable samples with frequency-domain image representations for malware detection research.
A TensorFlow implementation of convolutional highway networks for deep learning experiments.
Interactive Swift Playgrounds for iPad demonstrating Microsoft Cognitive Services APIs and CoreML through fun coding scenarios.
A BERT-based model that detects six types of toxicity in text comments, deployable as a Docker container.
A web application that performs quantitative decision analysis for baseball using in-memory machine learning models and AI agents.
An extensible .NET genetic algorithm library for optimization and AI, making evolutionary computation simple.
A TensorFlow library implementing Restricted Boltzmann Machines and their variants for machine learning applications.
A neural network library in Go where neurons and synapses are implemented as goroutines.
A Julia package implementing backpropagation artificial neural networks for machine learning tasks.
A Swift deep learning library for iOS and macOS with Accelerate and Metal support.
A machine learning solution for predicting job salaries from advertisements, developed for a Kaggle competition.
🕶️ Adds chat auto-clear functionality to ChatGPT for more privacy
A hands-on tutorial for implementing a quantum perceptron using Microsoft's Quantum Development Kit and Q#.
Go binding for the MXNet C Predict API to perform inference with pre-trained deep learning models.
A lightweight, high-performance C++ wrapper for TensorFlow that simplifies development with a modern API.
A Ruby gem providing high-speed approximate nearest neighbor search using the NGT library.
A Julia framework for probabilistic graphical models, enabling structured probabilistic modeling and inference.
A feature engineering wrapper for scikit-learn that uses genetic programming to find optimal feature transformations for machine learning models.
A Python library for blazing fast fuzzy and semantic text search using vectorization and approximate nearest neighbor techniques.
An easy-to-use PyTorch library for faster computer vision model development and training.
A Docker-based optical character recognition model that extracts text from images using Tesseract.
A Node.js framework for building machine-learning bots with a modular event handling and data processing pipeline.
A Torch wrapper for the Cephes mathematical functions library, providing special mathematical functions for scientific computing.
A signal processing toolbox for Torch 7 providing Fourier transforms, spectrograms, and other signal analysis functions.
Clojure bindings for the BigML.io API, enabling machine learning tasks and pipelines from Clojure code.
V language bindings for Mozilla's DeepSpeech, enabling speech-to-text functionality in V applications.
Deploy a neural network model that transfers artistic styles from one image to another using a ResNet-based architecture.
A library for factorizing highly sparse tensors using beta-divergence minimization, designed for data with >99.9% missing values.
A curated dataset of packed and unpacked PE executables for training machine learning models to detect packing.
A collection of machine learning algorithms for online linear classification written in Common Lisp
A Python library implementing biologically-inspired algorithms including neural networks, genetic programming, and particle swarm optimization.
A lightweight, header-only C++11 deep neural network library designed for embedded systems with minimal dependencies.
A JavaScript implementation of the k-nearest neighbors algorithm for supervised machine learning.
Type-safe n-dimensional arrays (tensors) in Scala 3 with compile-time shape, axis label, and data type validation.
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